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import streamlit as st
# import sounddevice as sd
# import wavio
import openai
import numpy as np
from langchain.chat_models import ChatOpenAI
from langchain.memory import ConversationBufferWindowMemory
from langchain.chains import ConversationChain
from audio_recorder_streamlit import audio_recorder
llm = ChatOpenAI(openai_api_key="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",temperature=0.0)
openai.api_key = "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"
# audio_file = open('song.mp3', 'rb')
# audio_bytes = audio_file.read()
# memory = ConversationBufferWindowMemory(k=5)
if "memory" not in st.session_state:
st.session_state["memory"]=ConversationBufferWindowMemory(k=5)
# def record(duration=5, fs=48000):
# sd.default.samplerate = fs
# sd.default.channels = 1
# myrecording = sd.rec(int(duration * fs))
# sd.wait(duration)
# return myrecording
# def read_audio(file):
# with open(file, "rb") as audio_file:
# audio_bytes = audio_file.read()
# return audio_bytes
# def save_record(path_myrecording, myrecording, fs):
# wavio.write(path_myrecording, myrecording, fs, sampwidth=2)
# return None
st.title("Chat with AI")
if "input" not in st.session_state:
st.session_state["input"]=np.empty((0, 2), str)
with st.sidebar:
cols=st.columns(7)
with cols[0]:
audio_bytes = audio_recorder(text="",icon_size="2x")
if audio_bytes:
st.audio(audio_bytes, format="audio/wav")
with cols[1]:
st.button("🚧",type="primary")
with st.container():
user_input=st.chat_input("Say something")
if user_input:
for i,a in st.session_state["input"]:
with st.chat_message("user"):
st.write(i)
with st.chat_message("assistant"):
st.write(a)
with st.chat_message("user"):
st.write(user_input)
conversation = ConversationChain(
llm=llm,
memory = st.session_state["memory"],
verbose=False)
anwser=conversation.predict(input=user_input)
st.session_state["input"]=np.append(st.session_state["input"],np.array([[user_input, anwser]]),axis=0)
with st.chat_message("assistant"):
st.write(anwser)
# st.button("🚧",type="primary")
# if st.button("Click to add"):
# record_state = st.text("recording....")
# duration = 5 # seconds
# fs = 48000
# myrecording = record(duration, fs)
# record_state.text(f"Saving sample as record.mp3")
# path_myrecording = f"./record.mp3"
# save_record(path_myrecording, myrecording, fs)
# audio_file= open("record.mp3", "rb")
# transcript = openai.Audio.transcribe("whisper-1", audio_file)
# # transcript = openai.Audio.translate("whisper-1", audio_file)
# record_state.text(transcript.text)
# st.audio(read_audio(path_myrecording))
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